Zebra-CoT Dataset
Zebra CoT
university
AI & ML interests
chain-of-thought
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The Multimodal Reasoning Lab brings together researchers from Columbia, U Maryland, USC, and NYU.
We created the Zebra‑CoT dataset to enable interleaved vision–language reasoning and have developed state-of-the-art visual reasoning models built on this foundation.
datasets 19
multimodal-reasoning-lab/Zebra-CoT
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• 160k • 4.3k • 64
multimodal-reasoning-lab/Chess
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• 20.5k • 192 • 2
multimodal-reasoning-lab/Connect-Four
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• 2.03k • 105
multimodal-reasoning-lab/Ciphers
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• 6.59k • 129
multimodal-reasoning-lab/Checkers
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• 2.75k • 101
multimodal-reasoning-lab/Chemistry
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• 4.67k • 172 • 7
multimodal-reasoning-lab/Visual-Jigsaw
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• 21.9k • 140 • 1
multimodal-reasoning-lab/Physics
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• 7.09k • 172 • 4
multimodal-reasoning-lab/RPM
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• 3k • 92 • 1
multimodal-reasoning-lab/Maze
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• 20k • 56